#' smoothing regression function
#'
#' @keywords internal
#' @importFrom sm sm.regression h.select
suavizado <- function(i.datos, hsuav = -1) {
m <- length(i.datos)
datosx <- (1:m)[!is.na(i.datos)]
datosy <- i.datos[!(is.na(i.datos) | is.infinite(i.datos))]
# When there is only one point, h.select produces an error
if (length(datosx) > 1) {
if (hsuav == -1) hsuav <- h.select(datosx, datosy)
smr <- sm.regression(datosx, datosy, h = hsuav, display = "none", eval.points = 1:m)
salida <- smr$estimate
salida[salida < 0] <- 0
salida[is.nan(salida)] <- NA
} else {
salida <- i.datos
}
return(salida)
}
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